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Filters: Author is Xiulan, SONG  [Clear All Filters]
2020-03-09
Xiaoxin, LOU, Xiulan, SONG, Defeng, HE, Liming, MENG.  2019.  Secure estimation for intelligent connected vehicle systems against sensor attacks. 2019 Chinese Control Conference (CCC). :6658–6662.
Intelligent connected vehicle system tightly integrates computing, communication, and control strategy. It can increase the traffic throughput, minimize the risk of accidents and reduce the energy consumption. However, because of the openness of the vehicular ad hoc network, the system is vulnerable to cyber-attacks and may result in disastrous consequences. Hence, it is interesting in design of the connected vehicular systems to be resilient to the sensor attacks. The paper focuses on the estimation and control of the intelligent connected vehicle systems when the sensors or the wireless channels of the system are attacked by attackers. We give the upper bound of the corrupted sensors that can be corrected and design the state estimator to reconstruct the initial state by designing a closed-loop controller. Finally, we verify the algorithm for the connected vehicle system by some classical simulations.